Detection of Incidental Esophageal Cancers on Chest CT by Deep Learning

OBJECTIVE: To develop a deep learning-based model using esophageal thickness to detect esophageal cancer from unenhanced chest CT images. METHODS: We retrospectively identified 141 patients with esophageal cancer and 273 patients negative for esophageal cancer (at the time of imaging) for model trai...

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Detalles Bibliográficos
Autores principales: Sui, He, Ma, Ruhang, Liu, Lin, Gao, Yaozong, Zhang, Wenhai, Mo, Zhanhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481957/
https://www.ncbi.nlm.nih.gov/pubmed/34604036
http://dx.doi.org/10.3389/fonc.2021.700210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481957/
https://www.ncbi.nlm.nih.gov/pubmed/34604036
http://dx.doi.org/10.3389/fonc.2021.700210

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